UPY: Seaborn

Section 9: Python for Data Visualization - Seaborn

1. Introduction to Seaborn

2. Distribution Plots

sns.distplot(df['continuous_variable'], kde=False, bins=10)

sns.jointplot(x='continuous_var', y='continuous_var2', data=df)

sns.pairplot(df, hue="categorical_var", palette="coolwarm")

1. Categorical Plots

2. Matrix Plots

3. Grids

4. Regression Plots

5. Style and Color

6. Seaborn Exercise Overview

7. Seaborn Exercise Solutions